app.py

Communism

app.py

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+import gradio as gr
+from gradio.inputs import Dropdown
+import requests
+
+"""
+Use Gradio library to create a form with a textbox to store the input text.
+And API_KEY textbox to store the key.
+Use api.openai.com to get the response.
+"""
+
+
+def generate_text(input_text, api_key, temperature, max_tokens, frequency_penalty, presence_penalty, engine_id):
+    url = "https://api.openai.com/v1/engines/{engine_id}/completions".format(engine_id=engine_id)
+    data = {
+        "prompt": input_text,
+        "max_tokens": max_tokens,
+        "temperature": temperature,
+        "frequency_penalty": frequency_penalty,
+        "presence_penalty": presence_penalty
+    }
+    headers = {"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}
+    response = requests.post(url=url, json=data, headers=headers)
+    if response.status_code == 200:
+        return response.json()["choices"][0]["text"]
+    else:
+        return "Error: " + response.text
+
+
+if __name__ == "__main__":
+    gr.Interface(
+        generate_text,  # function to be called
+        [gr.inputs.Textbox(lines=1), gr.inputs.Textbox(lines=1), gr.inputs.Slider(minimum=0, maximum=1, step=0.01),
+         gr.inputs.Slider(minimum=32, maximum=500, step=1), gr.inputs.Slider(minimum=0, maximum=1, step=0.01), gr.inputs.Slider(minimum=0, maximum=1, step=0.01), gr.inputs.Dropdown(["davinci-codex", "cushman-codex"])],  # input types
+        gr.outputs.Textbox()  # output type