Update app.py

app.py

@@ -171,37 +171,6 @@ def generate_speech(text, voice1, voice2, temperature, top_p, repetition_penalty
         return None
     
     try:
-        genai.configure(api_key=api_key)
-        model = genai.GenerativeModel('gemini-2.5-pro-preview-03-25')
-        
-        combined_content = prompt or ""
-        
-        if uploaded_file is not None:
-            file_bytes = io.BytesIO(uploaded_file)
-            
-            # Try to detect the file type based on content
-            file_bytes.seek(0)
-            if file_bytes.read(4) == b'%PDF':
-                # It's a PDF file
-                file_bytes.seek(0)
-                pdf_reader = PyPDF2.PdfReader(file_bytes)
-                file_content = "\n".join([page.extract_text() for page in pdf_reader.pages])
-            else:
-                # Try as text file first
-                file_bytes.seek(0)
-                try:
-                    file_content = file_bytes.read().decode('utf-8')
-                except UnicodeDecodeError:
-                    # If it's not a text file, try as a docx
-                    file_bytes.seek(0)
-                    try:
-                        doc = Document(file_bytes)
-                        file_content = "\n".join([para.text for para in doc.paragraphs])
-                    except:
-                        raise ValueError("Unsupported file type or corrupted file")
-
-            combined_content += "\n" + file_content if combined_content else file_content
-            
         progress(0.1, "Processing text...")
         paragraphs = text.split('\n\n')  # Split by double newline
         audio_samples = []
@@ -265,7 +234,8 @@ with gr.Blocks(title="Orpheus Text-to-Speech") as demo:
                 interactive=True,
                 container=True
             )
-        uploaded_file = gr.File(label="Upload File", type="binary")
+            uploaded_file = gr.File(label="Upload File", type=["txt", "docx", "pdf"])
+
         with gr.Column(scale=2):
             duration = gr.Slider(minimum=1, maximum=60, value=5, step=1, label="Duration (minutes)")
             num_hosts = gr.Radio(["1", "2"], label="Number of Hosts", value="1")