VIATEUR-AI commited on
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1 Parent(s): 25b5d31

# app.py import gradio as gr import folium import networkx as nx from folium import Map, Marker, PolyLine places = { "Nyamirambo": (-1.9706, 30.0423), "Downtown": (-1.9441, 30.0619), "Kacyiru": (-1.9444, 30.0912), "Kimironko": (-1.9300, 30.1250), } G = nx.Graph() G.add_edge("Nyamirambo", "Downtown", weight=10) G.add_edge("Downtown", "Kacyiru", weight=5) G.add_edge("Kacyiru", "Kimironko", weight=7) G.add_edge("Nyamirambo", "Kimironko", weight=20) def generate_map(start, end): m = Map(location=[-1.95, 30.08], zoom_start=13) for name, coords in places.items(): Marker(location=coords, popup=name).add_to(m) if start == end: return "Hitamo aho utangiriye n’aho ugiye bitandukanye.", m._repr_html_() try: path = nx.astar_path(G, start, end, heuristic=lambda u,v: 0) coords = [places[p] for p in path] PolyLine(coords, color="blue", weight=5).add_to(m) return "Inzira ngufi ni: " + " ➔ ".join(path), m._repr_html_() except: return "Ntibishoboka kubona inzira.", m._repr_html_() iface = gr.Interface( fn=generate_map, inputs=[ gr.Dropdown(list(places.keys()), label="Hitamo aho uri"), gr.Dropdown(list(places.keys()), label="Hitamo aho ugiye") ], outputs=[ gr.Textbox(label="Ubutumwa"), gr.HTML(label="Map") ], title="🗺️ Rwanda Smart Route Planner" ) iface.launch()

Browse files
Files changed (1) hide show
  1. app.py +46 -60
app.py CHANGED
@@ -1,64 +1,50 @@
1
- import gradio as gr
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- from huggingface_hub import InferenceClient
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-
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- """
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- For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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- """
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- client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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-
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-
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- def respond(
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- message,
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- history: list[tuple[str, str]],
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- system_message,
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- max_tokens,
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- temperature,
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- top_p,
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- ):
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- messages = [{"role": "system", "content": system_message}]
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-
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- for val in history:
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- if val[0]:
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- messages.append({"role": "user", "content": val[0]})
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- if val[1]:
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- messages.append({"role": "assistant", "content": val[1]})
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-
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- messages.append({"role": "user", "content": message})
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-
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- response = ""
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- for message in client.chat_completion(
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- messages,
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- max_tokens=max_tokens,
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- stream=True,
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- temperature=temperature,
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- top_p=top_p,
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- ):
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- token = message.choices[0].delta.content
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-
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- response += token
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- yield response
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-
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-
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- """
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- For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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- """
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- demo = gr.ChatInterface(
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- respond,
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- additional_inputs=[
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- gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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- gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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- gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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- gr.Slider(
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- minimum=0.1,
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- maximum=1.0,
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- value=0.95,
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- step=0.05,
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- label="Top-p (nucleus sampling)",
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- ),
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ],
 
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  )
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-
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- if __name__ == "__main__":
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- demo.launch()
 
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+ # app.py
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import gradio as gr
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+ import folium
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+ import networkx as nx
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+ from folium import Map, Marker, PolyLine
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+
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+ places = {
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+ "Nyamirambo": (-1.9706, 30.0423),
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+ "Downtown": (-1.9441, 30.0619),
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+ "Kacyiru": (-1.9444, 30.0912),
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+ "Kimironko": (-1.9300, 30.1250),
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+ }
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+
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+ G = nx.Graph()
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+ G.add_edge("Nyamirambo", "Downtown", weight=10)
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+ G.add_edge("Downtown", "Kacyiru", weight=5)
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+ G.add_edge("Kacyiru", "Kimironko", weight=7)
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+ G.add_edge("Nyamirambo", "Kimironko", weight=20)
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+
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+ def generate_map(start, end):
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+ m = Map(location=[-1.95, 30.08], zoom_start=13)
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+ for name, coords in places.items():
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+ Marker(location=coords, popup=name).add_to(m)
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+
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+ if start == end:
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+ return "Hitamo aho utangiriye n’aho ugiye bitandukanye.", m._repr_html_()
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+
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+ try:
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+ path = nx.astar_path(G, start, end, heuristic=lambda u,v: 0)
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+ coords = [places[p] for p in path]
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+ PolyLine(coords, color="blue", weight=5).add_to(m)
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+ return "Inzira ngufi ni: " + " ➔ ".join(path), m._repr_html_()
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+ except:
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+ return "Ntibishoboka kubona inzira.", m._repr_html_()
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+
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+ iface = gr.Interface(
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+ fn=generate_map,
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+ inputs=[
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+ gr.Dropdown(list(places.keys()), label="Hitamo aho uri"),
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+ gr.Dropdown(list(places.keys()), label="Hitamo aho ugiye")
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+ ],
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+ outputs=[
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+ gr.Textbox(label="Ubutumwa"),
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+ gr.HTML(label="Map")
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  ],
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+ title="🗺️ Rwanda Smart Route Planner"
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  )
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+ iface.launch()