add maiyi v1

app.py

@@ -1,7 +1,13 @@
 import gradio as gr
+import requests
 
-def greet(name):
-    return "你好 "+name+"!!!"
+def gpt(prompt):
+    baixing_gpt_key=os.environ.get("BAIXING_GPT_KEY")
+    endpoint = "https://gpt.baixing.com/?p=%s&k=%s" % (prompt,baixing_gpt_key) 
+    response = requests.get(endpoint)
+    output = response.json()['data']
+    return output
 
-iface = gr.Interface(fn=greet,inputs="text", outputs="text")
+
+iface = gr.Interface(fn=gpt,inputs="text", outputs="text")
 iface.launch()

req.txt

@@ -0,0 +1,143 @@
+def classify_pdf(prompt):
+    openai_api_key = os.environ.get("OPENAI_API_KEY")
+    text = prompt
+    data = {
+        "prompt": text,
+        "model": "text-davinci-003",
+        "length": 200,
+        "stop": "."
+    }
+    endpoint = "https://api.openai.com/v1/engines/davinci/completions"
+    headers = {
+    "Content-Type": "application/json",
+    "Authorization": f"Bearer {openai_api_key}"
+    }
+    response = requests.post(endpoint, headers=headers, json=data)
+    summary_output.value = response.json()['choices'][0]['text']
+
+
+prompt = gr.inputs.Textbox()
+summary_output = gr.outputs.Textbox()
+
+interface = gr.Interface(classify_pdf, inputs=prompt, outputs=summary_output)
+interface.launch()
+intf.launch(inline=True)
+
+
+
+
+
+https://gpt.baixing.com/?p=huggingfaceSpace中如何发出requests请求到别的网站，请用python代码来演示&k=NHSXKDRB
+
+
+import os
+import openai
+import gradio as gr
+
+#if you have OpenAI API key as an environment variable, enable the below
+#openai.api_key = os.getenv("OPENAI_API_KEY")
+
+#if you have OpenAI API key as a string, enable the below
+openai.api_key = "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"
+
+start_sequence = "\nAI:"
+restart_sequence = "\nHuman: "
+
+prompt = "Input text here"
+
+def openai_create(prompt):
+
+    response = openai.Completion.create(
+    model="text-davinci-003",
+    prompt=prompt,
+    temperature=0.9,
+    max_tokens=150,
+    top_p=1,
+    frequency_penalty=0,
+    presence_penalty=0.6,
+    stop=[" Human:", " AI:"]
+    )
+
+    return response.choices[0].text
+
+
+
+def chatgpt_clone(input, history):
+    history = history or []
+    s = list(sum(history, ()))
+    s.append(input)
+    inp = ' '.join(s)
+    output = openai_create(inp)
+    history.append((input, output))
+    return history, history
+
+
+block = gr.Blocks()
+
+
+with block:
+    gr.Markdown("""<h1><center>Sammy AI</center></h1>
+    """)
+    chatbot = gr.Chatbot()
+    message = gr.Textbox(placeholder=prompt)
+    state = gr.State()
+    submit = gr.Button("SEND")
+    submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state])
+
+block.launch(debug = True)
+import os
+import openai
+import gradio as gr
+
+#if you have OpenAI API key as an environment variable, enable the below
+#openai.api_key = os.getenv("OPENAI_API_KEY")
+
+#if you have OpenAI API key as a string, enable the below
+openai.api_key = "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"
+
+start_sequence = "\nAI:"
+restart_sequence = "\nHuman: "
+
+prompt = "Input text here"
+
+def openai_create(prompt):
+
+    response = openai.Completion.create(
+    model="text-davinci-003",
+    prompt=prompt,
+    temperature=0.9,
+    max_tokens=150,
+    top_p=1,
+    frequency_penalty=0,
+    presence_penalty=0.6,
+    stop=[" Human:", " AI:"]
+    )
+
+    return response.choices[0].text
+
+
+
+def chatgpt_clone(input, history):
+    history = history or []
+    s = list(sum(history, ()))
+    s.append(input)
+    inp = ' '.join(s)
+    output = openai_create(inp)
+    history.append((input, output))
+    return history, history
+
+
+block = gr.Blocks()
+
+
+with block:
+    gr.Markdown("""<h1><center>Sammy AI</center></h1>
+    """)
+    chatbot = gr.Chatbot()
+    message = gr.Textbox(placeholder=prompt)
+    state = gr.State()
+    submit = gr.Button("SEND")
+    submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state])
+
+block.launch(debug = True)
+