Update app.py

app.py

@@ -8,19 +8,20 @@ API_URL = "https://api-inference.huggingface.co/models/bigscience/bloom"
 headers = {"Authorization": f"Bearer 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"}
 
 
-def text_generate(prompt, generated_txt): 
+def text_generate(prompt, generated_txt, top_p=0.8, top_k=100, temperature=1.0, num_beams=3, repetition_penalty=3.0): 
   #Prints to debug the code
   print(f"*****Inside text_generate - Prompt is :{prompt}")
   json_ = {"inputs": prompt,
             "parameters":
             {
-            "top_p": 0.8,
-            "top_k": 100,
-          "temperature": 1.0,
+            "top_p": top_p,
+            "top_k": top_k,
+          "temperature": temperature,
           "max_new_tokens": 250,
           "return_full_text": True,
           "do_sample":True,
-          "num_beams": 3,
+          "num_beams": num_beams,
+          "repetition_penalty": repetition_penalty,
           }, 
           "options": 
           {"use_cache": True,
@@ -88,9 +89,20 @@ with demo:
     
   with gr.Row():
     generated_txt = gr.Textbox(lines=7, visible = True)
+    
+  with gr.Row():
+    top_p = gr.Slider(label="top_p", minimum=0., maximum=1.0, value=0.8, step=0.1, visible = True)
+  with gr.Row():
+    top_k = gr.Slider(label="top_k", minimum=1, maximum=500, value=100, step=20, visible = True)
+  with gr.Row():
+    temperature = gr.Slider(label="temperature", minimum=0., maximum=2.0, value=1.0, step=0.1, visible = True)
+  with gr.Row():
+    num_beams = gr.Slider(label="num_beams", minimum=1, maximum=6, value=3, step=1, visible = True)
+  with gr.Row():
+    repetition_penalty = gr.Slider(label="repetition_penalty", minimum=1.0, maximum=6.0, value=3.0, step=1.0, visible = True)
   
   b1 = gr.Button("Generate Your Story")
 
-  b1.click(text_generate, inputs=[input_prompt, generated_txt], outputs=[generated_txt, input_prompt]) 
+  b1.click(text_generate, inputs=[input_prompt, generated_txt, top_p, top_k, temperature, num_beams, repetition_penalty], outputs=[generated_txt, input_prompt]) 
 
 demo.launch(enable_queue=True, debug=True)