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app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+
+client = InferenceClient(
+    "google/gemma-7b-it"
+)
+
+def format_prompt(message, history):
+    prompt = ""
+    if history:
+        #<start_of_turn>userWhat is recession?<end_of_turn><start_of_turn>model
+        for user_prompt, bot_response in history:
+            prompt += f"<start_of_turn>user{user_prompt}<end_of_turn>"
+            prompt += f"<start_of_turn>model{bot_response}"
+    prompt += f"<start_of_turn>user{message}<end_of_turn><start_of_turn>model"
+    return prompt
+
+
+def chat_inf(system_prompt,prompt,history,seed,temp,tokens,top_p,rep_p):
+    #token max=8192
+    if not history:
+        history = []
+        hist_len=0
+    if history:
+        hist_len=len(history)
+        print(hist_len)
+        
+    generate_kwargs = dict(
+        temperature=temp,
+        max_new_tokens=tokens,
+        top_p=top_p,
+        repetition_penalty=rep_p,
+        do_sample=True,
+        seed=seed,
+    )
+    #formatted_prompt=prompt   
+    formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
+    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
+    output = ""
+        
+    for response in stream:
+        output += response.token.text
+        yield [(prompt,output)]
+    history.append((prompt,output))
+    yield history
+
+    
+with gr.Blocks() as app:
+    gr.HTML("""<center><h1 style='font-size:xx-large;'>Google Gemma 7B Chat</h1></center>""")
+    chat_b = gr.Chatbot(height=450, layout = "bubble")
+
+    with gr.Group():
+        with gr.Row():
+            with gr.Column(scale=3):
+                inp = gr.Textbox(label="Prompt")
+                sys_inp = gr.Textbox(label="System Prompt (optional)")
+                with gr.Row():
+                    with gr.Column(scale=2):
+                        btn = gr.Button("Chat")
+                    with gr.Column(scale=1):
+                        with gr.Group():
+                            stop_btn=gr.Button("Stop")
+                            clear_btn=gr.Button("Clear")                
+
+            with gr.Column(scale=1):
+                with gr.Group():
+                    rand = gr.Checkbox(label="Random Seed", value=True)
+                    seed=gr.Slider(label="Seed", minimum=1, maximum=1111111111111111,step=1, value=rand_val)
+                    tokens = gr.Slider(label="Max new tokens",value=6400,minimum=0,maximum=8000,step=64,interactive=True, visible=True,info="The maximum number of tokens")
+                    temp=gr.Slider(label="Temperature",step=0.01, minimum=0.01, maximum=1.0, value=0.9)
+                    top_p=gr.Slider(label="Top-P",step=0.01, minimum=0.01, maximum=1.0, value=0.9)
+                    rep_p=gr.Slider(label="Repetition Penalty",step=0.1, minimum=0.1, maximum=2.0, value=1.0)
+
+    chat_sub=inp.submit(check_rand,[rand,seed],seed).then(chat_inf,[sys_inp,inp,chat_b,seed,temp,tokens,top_p,rep_p],chat_b)
+    go=btn.click(check_rand,[rand,seed],seed).then(chat_inf,[sys_inp,inp,chat_b,seed,temp,tokens,top_p,rep_p],chat_b)
+    stop_btn.click(None,None,None,cancels=[go,im_go,chat_sub])
+    clear_btn.click(clear_fn,None,[chat_b])
+app.queue(default_concurrency_limit=10).launch()

requirements.txt.txt

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+huggingface_hub