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chat-vs-chat

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victor HF Staff commited on Oct 19, 2023

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.gitattributes +35 -0
.gitignore +2 -0
Dockerfile +17 -0
README.md +11 -0
index.html +133 -0
package-lock.json +616 -0
package.json +16 -0
server.js +83 -0

.gitattributes ADDED Viewed

	@@ -0,0 +1,35 @@

+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore ADDED Viewed

	@@ -0,0 +1,2 @@


1	+ .env
2	+ node_modules

Dockerfile ADDED Viewed

	@@ -0,0 +1,17 @@

+# Use an official Node.js runtime as a parent image
+FROM node:18
+# Set the working directory to /app
+WORKDIR /app
+# Copy the current directory contents into the container at /app
+COPY . /app
+# Install any needed packages specified in package.json
+RUN npm install
+# Make port 3000 available to the world outside this container
+EXPOSE 3000
+# Run the app when the container launches
+CMD ["npm", "start"]

README.md ADDED Viewed

	@@ -0,0 +1,11 @@

+---
+title: Chat Vs Chat
+emoji: 😻
+colorFrom: blue
+colorTo: red
+sdk: docker
+pinned: false
+license: mit
+---
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

index.html ADDED Viewed

	@@ -0,0 +1,133 @@

+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Chat-vs-chat</title>
+    <script src="https://cdn.tailwindcss.com"></script>
+    <script
+      src="https://cdnjs.cloudflare.com/ajax/libs/handlebars.js/4.7.8/handlebars.js"
+      integrity="sha512-qwi9BHx0+QtW8krMaXObe76bUkPf8nRJOufgT5GS7C74s2sV+neksCVUhAWuMSXxZzKHiM3RuADPmWbhguWEIw=="
+      crossorigin="anonymous"
+      referrerpolicy="no-referrer"
+    ></script>
+    <script type="text/javascript">
+      const prompt = (message) => {
+        return `<s>[INST]You are a summarization AI. Your task is to summarize user requests, in a single sentence of less than 5 words. Do not try to answer questions, just summarize the user's request. Start your answer with an emoji relevant to the summary.\nWho is the president of Gabon? [/INST]🇬🇦 President of Gabon</s>[INST]Who is Julien Chaumond?[/INST]🧑 Julien Chaumond</s>[INST]What are the latest news?[/INST]📰 Latest news</s>[INST]How to make a great cheesecake?[/INST]🍰 Cheesecake recipe</s>[INST]What is 1 + 1?[/INST]🔢 Simple math operation</s>[INST]${message}[/INST]`;
+      };
+      async function sendMessage(message, temperature, maxNewTokens) {
+        const response1 = await fetch("/api/model/mistralai", {
+          method: "POST",
+          headers: {
+            "Content-Type": "application/json",
+          },
+          body: JSON.stringify({
+            inputs: prompt(message),
+            temperature: temperature,
+            max_new_tokens: maxNewTokens,
+          }),
+        });
+        const response2 = await fetch("/api/model/zephyr", {
+          method: "POST",
+          headers: {
+            "Content-Type": "application/json",
+          },
+          body: JSON.stringify({
+            inputs: prompt(message),
+            temperature: temperature,
+            max_new_tokens: maxNewTokens,
+          }),
+        });
+        const data1 = await response1.json();
+        const data2 = await response2.json();
+        // Assuming you want to display the 'generated_text' field in the UI
+        document.querySelector("#mistral-response").textContent =
+          data1.generated_text || "Error";
+        document.querySelector("#zephyr-response").textContent =
+          data2.generated_text || "Error";
+      }
+      document.addEventListener("DOMContentLoaded", () => {
+        document
+          .querySelector("form")
+          .addEventListener("submit", async (event) => {
+            event.preventDefault();
+            const message =
+              event.target.querySelector("input[type='text']").value;
+            const temperature = parseFloat(
+              document.querySelector("#temperature-input").value
+            );
+            const maxNewTokens = parseInt(
+              document.querySelector("#max-tokens-input").value,
+              10
+            );
+            await sendMessage(message, temperature, maxNewTokens);
+          });
+      });
+    </script>
+  </head>
+  <body>
+    <div
+      class="max-w-screen flex h-screen flex-col overflow-hidden max-h-screen"
+    >
+      <form action="">
+        <input
+          placeholder="Type your message"
+          type="text"
+          class="h-12 w-full border-b px-4 focus:bg-gray-50 focus:outline-none"
+        />
+      </form>
+      <div class="grid flex-1 grid-cols-2 divide-x overflow-y-auto">
+        <div class="relative flex flex-col space-y-2">
+          <div
+            class="text-xs flex sticky top-0 inset-x-0 h-9 overflow-hidden items-center whitespace-nowrap border-b bg-gray-50 px-4 font-mono sm:text-sm leading-none text-gray-500"
+          >
+            Mistral-7B-Instruct-v0.1
+          </div>
+          <div
+            id="mistral-response"
+            class="mx-2 max-sm:text-sm self-start rounded-lg bg-gray-50 p-3 text-gray-700 break-words overflow-y-auto"
+          ></div>
+        </div>
+        <div class="relative flex flex-col space-y-2">
+          <div
+            class="text-xs flex sticky top-0 inset-x-0 h-9 overflow-hidden items-center whitespace-nowrap border-b bg-gray-50 px-4 font-mono sm:text-sm leading-none text-gray-500"
+          >
+            HuggingFaceH4/zephyr-7b-alpha
+          </div>
+          <div
+            id="zephyr-response"
+            class="mx-2 max-sm:text-sm self-start rounded-lg bg-gray-50 p-3 text-gray-700 break-words overflow-y-auto"
+          ></div>
+        </div>
+      </div>
+      <div
+        class="flex h-9 sm:h-12 items-stretch justify-end divide-x border-t font-mono text-xs sm:text-sm text-gray-500"
+      >
+        <label for="temperature-input" class="flex items-center gap-4 px-4">
+          temperature
+          <input
+            value="1"
+            type="number"
+            id="temperature-input"
+            class="w-16 rounded border bg-gray-100 px-1"
+          />
+        </label>
+        <label for="max-tokens-input" class="flex items-center gap-4 px-4">
+          max_new_tokens
+          <input
+            value="512"
+            type="number"
+            id="max-tokens-input"
+            class="w-16 rounded border bg-gray-100 px-1"
+          />
+        </label>
+      </div>
+    </div>
+  </body>
+</html>

package-lock.json ADDED Viewed

	@@ -0,0 +1,616 @@

+{
+  "name": "chat-vs-chat",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "chat-vs-chat",
+      "version": "1.0.0",
+      "license": "ISC",
+      "dependencies": {
+        "dotenv": "^16.3.1",
+        "express": "^4.18.2"
+      }
+    },
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+}

package.json ADDED Viewed

	@@ -0,0 +1,16 @@

+{
+  "name": "chat-vs-chat",
+  "version": "1.0.0",
+  "description": "",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "dependencies": {
+    "dotenv": "^16.3.1",
+    "express": "^4.18.2"
+  }
+}

server.js ADDED Viewed

	@@ -0,0 +1,83 @@

+const express = require("express");
+const path = require("path");
+const app = express();
+// Middlewares
+app.use(express.json());
+app.use(express.urlencoded({ extended: true }));
+// Utility function to fetch data from HuggingFace
+async function query(url, data) {
+  console.log(data);
+  try {
+    const response = await fetch(url, {
+      headers: {
+        "Content-Type": "application/json",
+      },
+      method: "POST",
+      body: JSON.stringify(data),
+    });
+    if (!response.ok) {
+      throw new Error(
+        `Server responded with ${response.status}: ${response.statusText}`
+      );
+    }
+    const result = await response.json();
+    if (
+      result &&
+      Array.isArray(result) &&
+      result[0] &&
+      result[0].generated_text
+    ) {
+      return result[0].generated_text;
+    } else {
+      throw new Error("Unexpected response format");
+    }
+  } catch (error) {
+    console.error(`Error querying model at ${url}:`, error.message);
+    return null;
+  }
+}
+// API Routes
+app.post("/api/model/mistralai", async (req, res) => {
+  const result = await query(
+    "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.1",
+    req.body
+  );
+  if (result) {
+    res.json({ generated_text: result });
+  } else {
+    res.status(500).json({ error: "Failed to get response from model" });
+  }
+});
+app.post("/api/model/zephyr", async (req, res) => {
+  const result = await query(
+    "https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-alpha",
+    req.body
+  );
+  if (result) {
+    res.json({ generated_text: result });
+  } else {
+    res.status(500).json({ error: "Failed to get response from model" });
+  }
+});
+app.get("/", (req, res) => {
+  res.sendFile(path.join(__dirname, "index.html"));
+});
+// Catch-all route for all non-API URLs to redirect to root
+app.get("*", (req, res) => {
+  res.redirect("/");
+});
+const PORT = process.env.PORT || 3000;
+app.listen(PORT, () => {
+  console.log(`Server started on port ${PORT}`);
+});