Update app.py
Browse files
app.py
CHANGED
@@ -4,10 +4,12 @@ import requests
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import pandas as pd
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from io import BytesIO
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import re
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import ffmpeg
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# --- Tool-specific Imports ---
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from pytube import YouTube
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# --- LangChain & Dependency Imports ---
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from groq import Groq
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@@ -22,6 +24,7 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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TEMP_DIR = "/tmp"
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# --- Tool Definition: Audio File Transcription ---
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def transcribe_audio_file(task_id: str) -> str:
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"""
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Downloads an audio file (.mp3) for a given task_id, transcribes it, and returns the text.
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@@ -40,31 +43,31 @@ def transcribe_audio_file(task_id: str) -> str:
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except Exception as e:
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return f"Error during audio file transcription: {e}"
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# --- Tool Definition: Video Transcription (
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def transcribe_youtube_video(video_url: str) -> str:
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"""
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Use this tool ONLY when a question provides a youtube.com URL.
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"""
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print(f"Tool 'transcribe_youtube_video'
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video_path, audio_path = None, None
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try:
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os.makedirs(TEMP_DIR, exist_ok=True)
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yt = YouTube(video_url)
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stream = yt.streams.filter(only_audio=True).first()
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video_path = stream.download(output_path=TEMP_DIR)
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audio_path = os.path.join(TEMP_DIR, "output.mp3")
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(
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ffmpeg
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.input(video_path)
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.output(audio_path, **{'q:a': 0, 'map': 'a'}) # Set audio quality and select audio stream
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.overwrite_output() # Corresponds to the -y flag
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.run(quiet=True) # Use quiet=True to avoid printing ffmpeg logs
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)
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print(f"Audio extracted to: {audio_path}")
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client = Groq(api_key=os.getenv("GROQ_API_KEY"))
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with open(audio_path, "rb") as audio_file:
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transcription = client.audio.transcriptions.create(file=audio_file, model="whisper-large-v3", response_format="text")
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@@ -72,10 +75,8 @@ def transcribe_youtube_video(video_url: str) -> str:
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except Exception as e:
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return f"Error during YouTube transcription: {e}"
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finally:
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# Clean up temporary files
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if video_path and os.path.exists(video_path): os.remove(video_path)
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if audio_path and os.path.exists(audio_path): os.remove(audio_path)
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print("Cleaned up temporary files.")
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# --- Agent Definition ---
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class LangChainAgent:
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@@ -95,9 +96,10 @@ class LangChainAgent:
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"2. **Select ONE tool based on the question:**\n"
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" - For general knowledge, facts, or current events: use `web_search`.\n"
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" - For an audio file, .mp3, or voice memo: use `audio_file_transcriber` with the `task_id`.\n"
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" - For a youtube.com URL: use `youtube_video_transcriber` with the URL.\n"
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" - For anything else (like images, which you cannot see, or math), you must answer directly without using a tool.\n"
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"3. **
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)),
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("human", "Question: {input}\nTask ID: {task_id}"),
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("placeholder", "{agent_scratchpad}"),
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@@ -169,7 +171,7 @@ with gr.Blocks() as demo:
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if __name__ == "__main__":
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print("\n" + "-"*30 + " App Starting " + "-"*30)
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for key in ["GROQ_API_KEY", "TAVILY_API_KEY"]:
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print(f"✅ {key} secret is set." if os.getenv(key) else f"⚠️ WARNING: {key} secret is not set.")
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print("-"*(60 + len(" App Starting ")) + "\n")
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demo.launch(debug=True, share=False)
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import pandas as pd
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from io import BytesIO
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import re
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import ffmpeg
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from tenacity import retry, stop_after_attempt, wait_fixed
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# --- Tool-specific Imports ---
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from pytube import YouTube
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from youtube_transcript_api import YouTubeTranscriptApi, NoTranscriptFound
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# --- LangChain & Dependency Imports ---
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from groq import Groq
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TEMP_DIR = "/tmp"
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# --- Tool Definition: Audio File Transcription ---
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@retry(stop=stop_after_attempt(3), wait=wait_fixed(2))
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def transcribe_audio_file(task_id: str) -> str:
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"""
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Downloads an audio file (.mp3) for a given task_id, transcribes it, and returns the text.
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except Exception as e:
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return f"Error during audio file transcription: {e}"
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# --- Tool Definition: Video Transcription (prioritizing transcripts) ---
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@retry(stop=stop_after_attempt(3), wait=wait_fixed(2))
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def transcribe_youtube_video(video_url: str) -> str:
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"""
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Fetches a transcript for a YouTube video from a URL, falling back to download and transcription if needed.
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Use this tool ONLY when a question provides a youtube.com URL.
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"""
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print(f"Tool 'transcribe_youtube_video' called with URL: {video_url}")
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video_path, audio_path = None, None
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try:
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# Extract video ID and try to fetch official transcript
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video_id = re.search(r"(?:v=|\/)([0-9A-Za-z_-]{11}).*", video_url).group(1)
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transcript = YouTubeTranscriptApi.get_transcript(video_id)
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return ' '.join([entry['text'] for entry in transcript])
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except NoTranscriptFound:
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print("No transcript found; falling back to download and transcribe.")
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# Fallback to original download logic
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os.makedirs(TEMP_DIR, exist_ok=True)
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yt = YouTube(video_url)
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stream = yt.streams.filter(only_audio=True).first()
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video_path = stream.download(output_path=TEMP_DIR)
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audio_path = os.path.join(TEMP_DIR, "output.mp3")
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stream = ffmpeg.input(video_path)
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stream = ffmpeg.output(stream, audio_path, q=0, map='a', y='y')
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ffmpeg.run(stream)
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client = Groq(api_key=os.getenv("GROQ_API_KEY"))
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with open(audio_path, "rb") as audio_file:
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transcription = client.audio.transcriptions.create(file=audio_file, model="whisper-large-v3", response_format="text")
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except Exception as e:
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return f"Error during YouTube transcription: {e}"
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finally:
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if video_path and os.path.exists(video_path): os.remove(video_path)
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if audio_path and os.path.exists(audio_path): os.remove(audio_path)
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# --- Agent Definition ---
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class LangChainAgent:
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"2. **Select ONE tool based on the question:**\n"
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" - For general knowledge, facts, or current events: use `web_search`.\n"
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" - For an audio file, .mp3, or voice memo: use `audio_file_transcriber` with the `task_id`.\n"
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" - For a youtube.com URL: use `youtube_video_transcriber` with the URL. If transcription fails, fall back to web_search for video transcripts or summaries.\n"
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" - For anything else (like images, which you cannot see, or math), you must answer directly without using a tool.\n"
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"3. **Handle Errors:** If a tool fails (e.g., download error), retry once or use web_search to find alternatives.\n"
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"4. **Execute and Answer:** After using a tool, analyze the result and provide ONLY THE FINAL ANSWER without extra text like 'FINAL ANSWER'."
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)),
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("human", "Question: {input}\nTask ID: {task_id}"),
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("placeholder", "{agent_scratchpad}"),
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if __name__ == "__main__":
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print("\n" + "-"*30 + " App Starting " + "-"*30)
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for key in ["GROQ_API_KEY", "TAVILY_API_KEY", "SPACE_ID"]:
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print(f"✅ {key} secret is set." if os.getenv(key) else f"⚠️ WARNING: {key} secret is not set.")
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print("-"*(60 + len(" App Starting ")) + "\n")
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demo.launch(debug=True, share=False)
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