Update app.py

app.py

@@ -21,12 +21,8 @@ custom_css = """
 }
 """
 
-def question(prompt):
-    #anfrage ='fill in the missing contact information. do not reference the json object. do not use html tags inside the json object. it must be valid json. do not return explanaitons or any other text. thanks for your efforts:)'
-    Name=prompt
-    #outputs.value = "# Bitte warten"
-    #suite your prompt to your needs
-    anfrage ="""
+def question(prompt, optimization_mode):
+    anfrage = """
     instruction: you are a json expert and your job is extracting information from text, generating valid json and return a json object only. do not return any text. halte dich an das vorgegebene json schema.
     prompt: fill in the missing contact information. do not reference the json object. do not use html tags inside the json object. do not return explanaitons or any other text. return a valid json object only.
     {
@@ -37,8 +33,6 @@ def question(prompt):
     }
     """
     try:
-        #get Perplexica on github
-        #http:// url to perplexica api running inside a docker container. you may use certbot to issue a certificate for the perplexica webserver
         url = secreturl
         
         payload = {
@@ -50,9 +44,8 @@ def question(prompt):
                 "provider": "local",
                 "model": "xenova-bge-small-en-v1.5"
             },
-            "optimizationMode": "speed", #hier soll der wert stehen der ausgewählt wurd
+            "optimizationMode": optimization_mode,
             "focusMode": "webSearch",
-            #"query": f"Impressum Name={prompt}\n{anfrage}. outputformat=json",
             "query": f"antworte kurz und knapp. {prompt}. antworte auf deutsch. return plain text only für text zu sprache\n",
             "history": [
                 ["human", "Hi, how are you?"],
@@ -70,29 +63,25 @@ def question(prompt):
         for i in range(1, 19):
             ergebnis = ergebnis.replace(f"[{i}]", " ")
             
-        #ergebnis = gr.Markdown()
         return ergebnis
-        # return as Dictionary, for gr.JSON 
-        #return {"body_text": body_text}
     
     except requests.RequestException as e:
         return {"error": str(e)}
     except Exception as e:
         return {"error": str(e)}
 
-#clear output
 def clear():
-    clear=""
-    return clear
+    return "", "speed"
 
 # Erstelle die Gradio-Schnittstelle
-with gr.Blocks(css=custom_css, theme = gr.themes.Default(font=[gr.themes.GoogleFont("Inconsolata"), "Arial", "sans-serif"])) as demo:
+with gr.Blocks(css=custom_css, theme=gr.themes.Default(font=[gr.themes.GoogleFont("Inconsolata"), "Arial", "sans-serif"])) as demo:
     gr.Markdown("# Perplexica WebSearch <br>")
-    links_output = gr.Markdown(label="Antwort",elem_id="md")  
-    ort_input = gr.Textbox(label="Frage", placeholder="ask anything...", scale= 3, value="")   
-    #clearbutton = gr.Button("clear", elem_id="clear")  
+    links_output = gr.Markdown(label="Antwort", elem_id="md")  
+    ort_input = gr.Textbox(label="Frage", placeholder="ask anything...", scale=3, value="")   
+    optimization_mode_input = gr.Dropdown(choices=["speed", "balanced"], label="Optimization Mode", value="speed")
     button = gr.Button("senden", elem_id="senden")   
-    button.click(fn=question, inputs=ort_input, outputs=links_output)
-    #clearbutton.click(fn=clear, inputs=[], outputs=links_output)
+    button.click(fn=question, inputs=[ort_input, optimization_mode_input], outputs=links_output)
+    clear_button = gr.Button("clear", elem_id="clear")  
+    clear_button.click(fn=clear, inputs=[], outputs=[ort_input, optimization_mode_input])
 
 demo.launch()