Update run.py
Browse files
run.py
CHANGED
@@ -96,8 +96,22 @@ def format_prompt(message, history):
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return prompt
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def response(prompt, history, temperature=0.9, max_new_tokens=500, top_p=0.95, repetition_penalty=1.0):
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temperature = float(temperature)
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if temperature < 1e-2: temperature = 1e-2
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top_p = float(top_p)
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@@ -130,51 +144,11 @@ def response(prompt, history, temperature=0.9, max_new_tokens=500, top_p=0.95, r
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now = str(datetime.now())
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save_to_sheet(now, prompt, output)
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yield output
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return """
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<script>
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function getUrl() {
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const url = window.location.href;
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const xhr = new XMLHttpRequest();
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xhr.open("POST", "/submit_url", true);
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xhr.setRequestHeader("Content-Type", "application/json");
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xhr.onreadystatechange = function() {
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if (xhr.readyState === 4 && xhr.status === 200) {
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console.log("URL submitted successfully");
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}
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};
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xhr.send(JSON.stringify({ url: url }));
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}
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window.onload = getUrl;
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</script>
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"""
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def submit_url(request):
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global global_url
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data = json.loads(request.body.decode("utf-8"))
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url = data.get("url")
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global_url = url # Save the URL in the global variable
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print(f"Received URL: {url}")
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return {"status": "success"}
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# Define the Gradio interface
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def create_interface():
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# Create a basic gr.Interface to include the JavaScript and handle URL submissions
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with gr.Blocks() as app:
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gr.HTML(js_code) # Include the JavaScript in the app
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gr.ChatInterface(
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fn=response,
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chatbot=gr.Chatbot(
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value=[[None, "Herzlich willkommen! Ich bin Chätti ein KI-basiertes Studienassistenzsystem, das für jede Anfrage die am besten Studieninformationen empfiehlt.<br>Erzähle mir, was du gerne tust!"]],
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render_markdown=True
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),
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title="German Studyhelper Chätti"
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).launch(
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share=True
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)
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# Launch the Gradio app with URL capturing
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if __name__ == "__main__":
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create_interface()
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print("Interface up and running!")
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return prompt
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def response(prompt, history, temperature=0.9, max_new_tokens=500, top_p=0.95, repetition_penalty=1.0):
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global_url = "" # Initialize URL variable
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# JavaScript code to extract URL from the browser
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js_code = """
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<script>
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function extractUrl() {
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return window.location.href;
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}
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</script>
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"""
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# Extract URL using JavaScript
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url_script = '<script>var url = extractUrl(); document.getElementById("url").innerText = url;</script>'
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url_extracted = "<div id='url'></div>" # Placeholder for URL extraction
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print(f"Working with URL: {url_extracted}")
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temperature = float(temperature)
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if temperature < 1e-2: temperature = 1e-2
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top_p = float(top_p)
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now = str(datetime.now())
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save_to_sheet(now, prompt, output)
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yield output
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gr.ChatInterface(
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response,
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chatbot=gr.Chatbot(value=[[None, "Herzlich willkommen! Ich bin Chätti ein KI-basiertes Studienassistenzsystem, das für jede Anfrage die am besten Studieninformationen empfiehlt.<br>Erzähle mir, was du gerne tust!"]], render_markdown=True),
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title="German Studyhelper Chätti"
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).queue().launch(share=True)
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print("Interface up and running!")
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