Update app.py

app.py

@@ -42,7 +42,7 @@ def gpt3(texts):
     # openai.api_key = os.environ["Secret"]
     openai.api_key = st.secrets['OPENAI_KEY'] #'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'#'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' #'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'
     response = openai.Completion.create(
-    engine="text-davinci-002",
+    engine="gpt-3.5-turbo",
     prompt= texts,
         temperature=temp,
         max_tokens=750,
@@ -110,7 +110,7 @@ def search_internet(question):
         # snippets
     
         response = openai.Completion.create(
-            model="text-davinci-003",
+            model="gpt-3.5-turbo",
             prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
             temperature=0.49,
             max_tokens=256,
@@ -157,7 +157,7 @@ def search_internet(question):
             # snippets
         
             response = openai.Completion.create(
-                model="text-davinci-003",
+                model="gpt-3.5-turbo",
                 prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
                 temperature=0.49,
                 max_tokens=256,
@@ -203,7 +203,7 @@ def search_internet(question):
             # snippets
         
             response = openai.Completion.create(
-                model="text-davinci-003",
+                model="gpt-3.5-turbo",
                 prompt=f'''following are snippets from google search with these as knowledge base only answer questions and print  reference link as well followed by answer. \n\n {snippets}\n\n question-{question}\n\nAnswer-''',
                 temperature=0.49,
                 max_tokens=256,
@@ -386,7 +386,7 @@ if Usage == 'Questions based on custom CSV data':
                 
                 if len(gr_prompt) > 4097:
                     st.write('OVERWHELMING DATA!!! You have given me more than 4097 tokens! ^_^')
-                    st.write('As of today, the NLP model text-davinci-003 that I run on takes in inputs that have less than 4097 tokens. Kindly retry ^_^')
+                    st.write('As of today, the NLP model text-davinci-003/gpt-3.5-turbo that I run on takes in inputs that have less than 4097 tokens. Kindly retry ^_^')
                 
                 elif len(result_tab2.columns) < 2:
                     st.write("I need more data to conduct analysis and provide visualizations for you... ^_^") 
@@ -394,7 +394,7 @@ if Usage == 'Questions based on custom CSV data':
                 else:
                     st.success("Plotting...")
                     response_graph = openai.Completion.create(
-                            engine="text-davinci-003",
+                            engine="gpt-3.5-turbo",
                             prompt = gr_prompt,
                             max_tokens=1024,
                             n=1,
@@ -462,7 +462,7 @@ if Usage == 'Questions based on custom CSV data':
                 else:
                     st.success("Plotting...")
                     response_graph = openai.Completion.create(
-                            engine="text-davinci-003",
+                            engine="gpt-3.5-turbo",
                             prompt = gr_prompt,
                             max_tokens=1024,
                             n=1,
@@ -502,7 +502,7 @@ elif Usage == 'Random Questions':
         if st.button("SUBMIT"):
             question=mytext
             response = openai.Completion.create(
-              model="text-davinci-003",
+              model="gpt-3.5-turbo",
               prompt=f'''Your name is HyperBot and  knowledge cutoff date is 2021-09, and you are not aware of any events after that time. if the  
                         Answer to following questions is not from your knowledge base or in case of queries like weather 
                           updates / stock updates / current news or people which requires you to have internet connection  then print i don't have access to internet to answer your question, 
@@ -631,7 +631,7 @@ elif Usage == 'Random Questions':
                 
                 question = result
                 response = openai.Completion.create(
-                model="text-davinci-003",
+                model="gpt-3.5-turbo",
                 prompt=f'''Your knowledge cutoff is 2021-09, and it is not aware of any events after that time. if the  
                           Answer to following questions is not  from your knowledge base or in case of queries like weather 
                             updates / stock updates / current news Etc which requires you to have internet connection  then print i don't have access to internet to answer your question, 
@@ -686,90 +686,6 @@ elif Usage == 'Random Questions':
                     st.write(string_temp)
                 
         except:
-            stt_button = Button(label="Speak", width=100)
-            stt_button.js_on_event("button_click", CustomJS(code="""
-                var recognition = new webkitSpeechRecognition();
-                recognition.continuous = true;
-                recognition.interimResults = true;
-                recognition.onresult = function (e) {
-                    var value = "";
-                    for (var i = e.resultIndex; i < e.results.length; ++i) {
-                        if (e.results[i].isFinal) {
-                            value += e.results[i][0].transcript;
-                        }
-                    }
-                    if ( value != "") {
-                        document.dispatchEvent(new CustomEvent("GET_TEXT", {detail: value}));
-                    }
-                }
-                recognition.start();
-                """))
-            
-            result = streamlit_bokeh_events(
-            stt_button,
-            events="GET_TEXT",
-            key="listen",
-            refresh_on_update=False,
-            override_height=75,
-            debounce_time=0)
-        
-            if result:
-                if "GET_TEXT" in result:
-                    st.write(result.get("GET_TEXT"))
-                    question = result.get("GET_TEXT")
-                    response = openai.Completion.create(
-                    model="text-davinci-003",
-                    prompt=f'''Your knowledge cutoff is 2021-09, and it is not aware of any events after that time. if the  
-                              Answer to following questions is not  from your knowledge base or in case of queries like weather 
-                                updates / stock updates / current news Etc which requires you to have internet connection  then print i don't have access to internet to answer your question, 
-                                if  question is related to  image or  painting or drawing generation then print ipython type output   function gen_draw("detailed prompt of image to be generated")
-                                if the question is related to playing a song or video or music of a singer then print ipython type output  function vid_tube("relevent search query")
-                                \nQuestion-{question}
-                                \nAnswer -''',
-                    temperature=0.49,
-                    max_tokens=256,
-                    top_p=1,
-                    frequency_penalty=0,
-                    presence_penalty=0
-                    )
-                    string_temp=response.choices[0].text
-        
-                    if ("gen_draw" in string_temp):
-                        st.write('*image is being generated please wait..* ')
-                        def extract_image_description(input_string):
-                            return input_string.split('gen_draw("')[1].split('")')[0]
-                        prompt=extract_image_description(string_temp)
-                        # model_id = "CompVis/stable-diffusion-v1-4"
-                        model_id='runwayml/stable-diffusion-v1-5'
-                        device = "cuda"
-        
-                        pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
-                        pipe = pipe.to(device)
-        
-                        # prompt = "a photo of an astronaut riding a horse on mars"
-                        image = pipe(prompt).images[0]  
-                          
-                        image.save("astronaut_rides_horse.png")
-                        st.image(image)
-                        # image 
-                    
-                    elif ("vid_tube" in string_temp):
-                        s = Search(question)
-                        search_res = s.results
-                        first_vid = search_res[0]
-                        print(first_vid)
-                        string = str(first_vid)
-                        video_id = string[string.index('=') + 1:-1]
-                        # print(video_id)
-                        YoutubeURL = "https://www.youtube.com/watch?v="
-                        OurURL = YoutubeURL + video_id
-                        st.write(OurURL)
-                        st_player(OurURL)
-        
-                    elif ("don't" in string_temp or "internet" in string_temp  ):
-                        st.write('*searching internet*')
-                        search_internet(question)
-                    else:
-                        st.write(string_temp)
+            pass
 else:
     pass