Update app.py

app.py

@@ -61,55 +61,10 @@ repo = Repository(
     local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
 )
 
-def generate_html() -> str:
-    with open(DATA_FILE) as csvfile:
-        reader = csv.DictReader(csvfile)
-        rows = []
-        for row in reader:
-            rows.append(row)
-        rows.reverse()
-        if len(rows) == 0:
-            return "no messages yet"
-        else:
-            html = "<div class='chatbot'>"
-            for row in rows:
-                html += "<div>"
-                html += f"<span>{row['inputs']}</span>"
-                html += f"<span class='outputs'>{row['outputs']}</span>"
-                html += "</div>"
-            html += "</div>"
-            return html
-
-    #store_message(message, response) # Save to dataset
-    
-#generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B", api_key=HF_TOKEN)
-#generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", api_key=HF_TOKEN)
-#generator1 = gr.Interface.load("huggingface/gpt2-large", api_key=HF_TOKEN)
-
-#greeter_1 = gr.Interface(lambda name: f"Hello {name}!", inputs="textbox", outputs=gr.Textbox(label="Greeter 1"))
-#greeter_2 = gr.Interface(lambda name: f"Greetings {name}!", inputs="textbox", outputs=gr.Textbox(label="Greeter 2"))
-#demo = gr.Parallel(greeter_1, greeter_2)
-
-#generator1 = gr.Interface(lambda name: f"Hello {name}!", inputs="textbox", outputs=gr.Textbox(label="GPT2-Large")).load("huggingface/gpt2-large", api_key=HF_TOKEN)
-
-
-#tbOutput = gr.Textbox(label="GPT Output")
-#generator1 = gr.Interface(lambda name: f"Hello {name}!", inputs="textbox", outputs=[tbOutput]).load("huggingface/gpt2-large", api_key=HF_TOKEN)
-#generator1 = generator1 = gr.Interface.load("huggingface/gpt2-large", api_key=HF_TOKEN)
-#generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B", api_key=HF_TOKEN)
-#generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", api_key=HF_TOKEN)
-
-#model_1_iface = gr.Interface(    fn=your_function_1,    inputs=gr.inputs.Textbox(),    outputs=gr.outputs.Label(num_top_classes=10))
-#model_2_iface = gr.Interface(    fn= your_function_2,    inputs=gr.inputs.Textbox(),    outputs=gr.outputs.Label(num_top_classes=10),)
-
-#generator1 = gr.Interface(fn=persist_memory,inputs=gr.inputs.Textbox(),outputs=gr.outputs.Label(num_top_classes=10) ).load("huggingface/gpt2-large",api_key=HF_TOKEN)
-#OutputsGen=gr.outputs.Label(num_top_classes=10) 
-#generator1 = gr.Interface(fn=persist_memory,inputs=[OutputsGen, OutputsGen],outputs=OutputsGen).load("huggingface/gpt2-large",api_key=HF_TOKEN)
 generator1 = gr.Interface.load("huggingface/gpt2-large", api_key=HF_TOKEN)
-#generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B", api_key=HF_TOKEN)
-#generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", api_key=HF_TOKEN)
+generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B", api_key=HF_TOKEN)
+generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B", api_key=HF_TOKEN)
 
-#MemoryChange=tbOutput.change(persist_memory,inputs=[tbOutput],outputs=gr.Textbox(label="PersistMemoryOutput"))
 SplitterInputBox = gr.inputs.Textbox(lines=5, label="Enter a sentence to get another sentence.")
 
 def AIMemory(name: str, message: str):
@@ -120,27 +75,8 @@ def AIMemory(name: str, message: str):
         commit_url = repo.push_to_hub()
     return {"name": name, "message": message, "time": str(datetime.now())}
     
-#with gr.Blocks() as Memory:
-
 parallelModel = gr.Parallel(generator1, generator2, generator3, inputs = SplitterInputBox, examples=examples,
             title="Mindfulness Story Generation with Persistent Dataset Memory",
             description=f"Mindfulness Story Generation with Persistent Dataset Memory",
             article=f"Memory Dataset URL: [{DATASET_REPO_URL}]({DATASET_REPO_URL})" )
-#
-#    gr.Markdown("Mindfulness Story Generation with Persistent Dataset Memory")
-#    with gr.Row():
-#        inp = gr.Textbox(placeholder="What text would you like to extend with generation?")
-#        inp2 = gr.Textbox(placeholder="What text would you like to extend with generation?")
-#        out = gr.Textbox()
-#        out2 = gr.Textbox()
-#        out3 = gr.Textbox()
-#    btn = gr.Button("Run")
-#    btn.click(fn=AIMemory, inputs=[inp,inp], outputs=[out,out2,out3])
-
-parallelModel.launch()
-
-#tbMemoryOutput = gr.Textbox(label="Memory Output")
-#btnSave = gr.Button("Save")
-#btnSave.click(fn=persist_memory, inputs=[SplitterInputBox, tbOutput], outputs=tbMemoryOutput)
-            
-#parallelModel.launch(share=False)
+parallelModel.launch(share=False)